Detection of important segments in cooking videos
Detection of important segments in cooking videos
复制标题
检测烹饪视频中的重要片段
DOI：
10.1109/ivl.2001.990865
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Hidehiko Tanaka
中科院分区：
文献类型：
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作者：
Reiko Hamada;Shin'ichi Satoh;Shuichi Sakai;Hidehiko Tanaka
本文提出了一种从烹饪视频中描绘视觉上重要片段的方法，该方法有望成为烹饪视频索引的核心技术。视觉信息在烹饪视频中尤为重要，因为由于指令类型视频的特性，它代表了基本的技术技能。我们发现，普通的基于镜头的视频索引方法不适用于烹饪视频，因为视觉上重要的片段都被吸收在镜头中。基于对烹饪视频的观察，该方法通过使用相对简单和鲁棒的技术将重复的运动片段检测为视觉上重要的片段。实验评估表明，该方法对手动选择的片段的检测率超过80%，而检测到的片段正确率为84%。我们还开发了一个烹饪视频抽象系统作为我们方法的示例应用，并确认所提出的方法对于实际应用是有用的。
The paper presents a method to delineate visually important segments from cooking videos, which is expected to be a core technique for cooking video indexing. Visual information is exceptionally important in cooking videos, since it represents essential technical skills owing to properties of instruction type videos. We reveal that an ordinary shot-based video indexing approach will not work for cooking videos, since visually important segments are absorbed in a shot. Based on the observation of cooking videos, the method detects repetitious motion segments as visually important segments by using relatively simple and robust techniques. The experimental evaluation shows that the method detects more than 80% of manually selected segments, while 84% of detected segments were correct. We also develop a cooking video abstraction system as a sample application of our method and confirm that the proposed method is useful for a real application.